Chain Mediating Effect of Self-control and Problem Behavior on Depression among Adolescents

DOI: https://doi.org/10.21203/rs.3.rs-1663846/v1

Abstract

Depression has become a prominent psychological problem among young people. The purpose of this study was to investigate the potential relationship between Internet addiction, family climate, academic performance, self-control, behavioral biases and depressive symptoms in adolescents. Based on the survey data of the fifth wave (2017 ~ 2018) and the sixth wave (2019 ~ 2020) of the China Family Panel Studies (CFPS), this study used LISREL8.8 software to analyze 1577 10 ~ 15 data on adolescents. In this study, selected individuals responded to the same depressive symptoms-related questions in both waves of the survey. The study found that Internet addiction had no direct effect on depressive symptoms in adolescents. Family atmosphere was negatively correlated with depressive symptoms. Academic performance was positively associated with depressive symptoms. Mediating effects found that Internet addiction, family climate, and academic performance can indirectly affect depressive symptoms through the independent mediation of behavioral deviations and the chain mediation of self-control and behavioral deviations. This study also found depressive symptoms in adolescents have a certain persistence in time. Based on this study, it is necessary to pay more attention to the depression of adolescents, strengthen the training of self-control, improve the anti-frustration ability and psychological resilience, and reduce the problem behavior of adolescents. It is recommended to try to start from emotional self-regulation to promote the personality health of adolescents.

Background

Depression has become one of the most important psychological problems in today's world (Pooja, 2021) [1]. It can cause people to feel depressed, and reduce their activity and language movements (Smith, 2014) [2]. Studies have shown that depression symptoms are caused by emotional disorder, which leads to physical and mental discomfort in individuals. Specific manifestations include sadness, despair, other emotions, and even suicidal tendencies (Cheung and Dewa, 2007) [3]. According to the results of the World Health Organization survey, at present, about 4.4% of the world's population suffers from depression, and more than 300 million people suffer from depression (WHO, 2017) [4]. Some studies have also found that in recent years, depression has gradually become younger, and there is an increasing number that young people suffering from depression, among which the depression of teenagers is particularly prominent (Servn-Mori et al., 2020) [5]. Adolescents suffering from depression not only affect their physical and mental development but also destroy family harmony, which is not conducive to social harmony and stability. Therefore, it is particularly important to explore the mechanism, possible influencing factors, and development path of adolescent depressive symptoms.

Internet addiction refers to the state that individuals overuse the Internet and even become addicted, which leads to personal psychological barriers and affects their normal life (Davis, 2001) [6]. A large number of studies show that Internet addiction is closely related to depression, and the Internet addiction rate of depressed people is significantly higher than that of normal people (Li et al., 2019) [7]. Studies have found that, Depressed patients with pessimism and anxiety generally have a low willingness to participate in social activities, while the social mode of virtual space can effectively avoid the friction and harm when people face to face with each other. More depressed people are more inclined to socialize online. Based on the substitution of online socialization, depressed individuals are also more prone to internet addiction (Kraut et al., 1998; Scott et al., 2009) [8–9], meanwhile, Depressed people will regulate their emotions through online media such as online shopping, watching videos and playing games (Kim et al., 2017) [10]. Secondly, some studies have found that Internet addiction is an important factor affecting depression. Long-term Internet use will reduce the communication between relatives and friends, reduce personal social adaptation, and fail to get enough social support. Leading to depression (Liang et al., 2016) [11]. In addition, there is also a scholar who believes that there is no direct correlation between depression and Internet addiction. Although depressed patients can compensate for individual interpersonal communication by using the Internet, it also reduces offline interaction (Anderson, 2001; Yao and Zhong, 2014) [12–13]. And they even think that Internet addiction can alleviate the depression of individuals. To some extent, the use of the Internet makes up for the social deficiency of depressed people (Przepiorka et al., 2019) [14]. Although there are many research on Internet addiction and depression, the relationship between them is still worth further exploring.

As the most primitive environment for an individual to grow up in, the family is generally a system unit formed by the interaction between parents and children. In this simple but complex set unit, the influence of the family atmosphere on individuals is self-evident (Mary et al., 2016) [15]. Relevant research shows that adolescent depression is closely related to the family atmosphere (Ribeiro et al., 2016) [16]. The family model theory holds that the better the atmosphere and environment of the family system, the better the family function, the more flexible the psychological quality and behavior of family members, and a bad family atmosphere will also lead to the risk of depression (Robert et al., 2000) [17]. The hopeless theory of depression also reflects that the family atmosphere has a negative effect on individual depression (Abramson et al., 1989) [18]. Teenagers have strong emotional dependence and emotional impulsiveness, and they are a high incidence of depression, and a good family atmosphere is extremely important for teenagers' emotional guidance and the cultivation of their ability to resist setbacks (Alison et al., 1998) [19]. Harmonious family relationships can promote teenagers' sense of social belonging, and positive parent-child interaction can also help teenagers enhance their psychological resilience (Guo, 2018) [20]. However, there is a complex endogenous relationship between adolescents' psychological state, emotional color, and depression. Therefore, it is of great significance to explore the influence path of the family atmosphere on depression.

Based on China's education system, social culture, expectations of parents and teachers, and peer pressure, teenagers are more likely to suffer from depression due to their academic performance (Zhang et al., 2015) [21], many studies have shown that there is a direct correlation between academic performance and depressive symptoms (Verboom et al., 2013; Katherine et al., 2012) [22–23]. Some studies believe that low academic performance is more likely to produce negative emotions (Pomerantz et al., 2002) [24].In primary and secondary schools, teenagers' lack of academic performance, learning attitude, learning style, etc leads to negative events, and negative feedback from parents, teachers, and classmates, resulting in self-denial psychology, which makes them more prone to depression. On the other hand, Some scholars also believe that teenagers with good academic performance are at greater risk of depression. The essence of adolescent depression is the lack of self-worth, and losing self-worth is easy to lose self-confidence, thus falling into depression. Teenagers with good academic performance, parents, teachers, and self-expectations are relatively high, and academic achievement becomes the main source of their sense of value. Therefore, Compared to those with poor academic performance, 90% of them are under greater learning pressure, which makes them more vulnerable to the gap, thus increasing the risk of depression (Çelik, 2019) [25]]. Therefore, the relationship between academic performance and depression needs to be further verified.

Adolescents' problem behavior refers to the violation of general social behavior. The external causes of problem behavior mainly include factors such as family environment disorder, bad social environment, and incorrect guidance of values, while the internal causes are main factors such as mismatch between individual physiological development and psychological development, insufficient social adaptability, and frustration tolerance (Markova and Nikitskaya,2014) [26]. problem behavior can be divided into general problem behavior and extreme problem behavior. General problem behavior, such as smoking, drinking, and truancy, has relatively little impact on teenagers themselves and society, while extreme problem behavior, such as suicide caused by depression symptoms and murder caused by paranoid ideation, will cause immeasurable losses (Benda and Corwyn, 1998) [27]. Studies have found that Internet addiction and adolescents with Internet addiction tendency are more likely to have problem behavior (Lin et al., 2020) [28]. In addition, the theory of the "people in situation" perspective finds that the parent-child relationship is an important factor to reduce adolescent behavior (Pavkov et al., 2010; Li, 2016) [29–30]. Therefore, regarding the relationship between adolescents' problem behavior, internet addiction, family atmosphere, academic performance, and depressive symptoms, Further verification is required.

Self-control refers to the process in which individuals control their own behaviors, thoughts, and emotions, and make some corrections to achieve their subjective goals (Inzlicht et al., 2014)[31]. It has been found that the higher the self-control ability, the higher the adjustment ability of an individual's stress ability and emotional response, and the negative behavior can be reduced when negative feedback is received (Glenn, 2000; Finning et al., 2017) [32–33]. At present, more studies have introduced self-control into the field of psychology to improve addiction or aggressive behavior by training self-control ability (Remster, 2014) [34]. Related studies have found that the higher the self-control level of adolescents, the less depressed they are (Jun and Choi, 2013; Yang et al., 2017) [35–36]. At the same time, self-control ability can also play a regulatory role, including reducing external environmental factors such as family conflicts and poor academic performance (Li, 2004; Reisig and Pratt,2011) [37–38].In addition, relevant studies also show that self-control is an important factor affecting problem behavior, and it also plays an important intermediary role in the influence of other factors on problem behavior, such as parent-child relationship and social support (Cho et al., 2017)[39]. In view of this, this study will also explore the mediating role of self-control.

What is the relationship between Internet addiction, family atmosphere, academic performance, and depression among adolescents? Does self-control and problem behavior have mediating effects on adolescent depression? Can adolescents' depression in 2018 affect their depression in 2020? Based on the existing theoretical basis and literature, the research hypothesis is shown in Fig. 1:H1-1) Internet addiction is positively correlated with adolescent depression; H1-2) Family atmosphere is negatively correlated with adolescent depression; H1-3) Academic performance is positively correlated with adolescent depression; H2) problem behavior has a potential mediating role in the relationship between Internet addiction, family atmosphere, academic performance, and adolescent depression; H3) Self-control plays a potential mediating role in the relationship between Internet addiction, family atmosphere, academic performance, and adolescent depression; H4) problem behavior and self-control have chain mediating effects in the relationship between Internet addiction, family atmosphere, academic performance, and adolescent depression; H5) There are persistent effects in adolescent depression.

< Insert Fig. 1 here >

Materials And Methods

Participants

The data are from China Family Panel Studies, CFPS) in The 5th Wave (2017-2018) and the sixth wave (2019-2020). CFPS is a nationwide, large-scale and multi-disciplinary social follow-up survey project, which mainly covers the subjects of Chinese residents' economic activities, educational achievements, family relationships, family dynamics, health, etc. And that baseline survey was officially carried out in 25 provinces/municipalities/autonomous regions, Finally, 14,960 households and 42,590 individuals were interviewed, which is the permanent tracking object of the CFPS survey and visited every two years. The sample selection of this study is shown in Figure 2. First of all, a total of 37,354 people participated in the 5th Wave survey. According to the characteristics of the research subjects, 34,747 people were selected, and then 1,006 people were selected according to the ID of The 5th Wave and the sixth wave of survey subjects. In addition, After eliminating 7 people with abnormal age and 17 people who didn't go to school in two waves, a final sample of 1577 people was obtained.

< Insert Figure 2 here > 

Measures

Internet addiction

Internet addiction is mainly assessed by investigating participants' Internet usage frequency. This study is mainly measured by the following questions. (1) the frequency of using the Internet to socialize; (2) the frequency of using the Internet for entertainment; (3) the Frequency of Internet business activities. Answers are divided into 7 levels (1= never, 2= once every few months; 3= once a month; 4= 2-3 times a month; 5= 1-2 times a week; 6= 3-4 times a week; 7= almost every day). The total score for internet addiction is between 3 and 21 points. The higher the score, the more serious the internet addiction is.

Family atmosphere

The family atmosphere of this study is mainly divided into two parts: parent-child relationship and parent-child interaction. In order to measure the parent-child relationship, this study uses the following questions: "the degree of trust in parents", and the answers include five levels (1= very distrust; 2= distrust; 3= average; 4= Trust; 5= very trusting). To measure parent-child interaction, participants were asked the following questions: "How many times have you talked to your parents in the past month" and "How many times have you had dinner with your family in the past week", the answers include five levels (1= never; 2=1~2 times, 3=3-4 times, 4=5-6 times, 5≥7 times).

Academic performance

The academic performance in the study mainly includes objective academic performance and subjective self-evaluation. The objective academic performance includes the following two questions: "class ranking" and "grade ranking". The question options are divided into five grades (1= the last 24%; 2=51-75%, 3=26-50%, 4=11-25%, 5= the top 10%). Subjective self-evaluation includes: "academic satisfaction" (1= very dissatisfied; 2= dissatisfied, 3= average, 4= satisfied,5= very satisfied), "How good do you think you are" (1= very not good, 2= not excellent, 3= average, 4= excellent, 5= very excellent) two questions.

Self-control

Since 2012, CFPS has investigated the self-control ability of teenagers aged 10 to 15 in their personal database. This scale mainly consists of 12 items, which are used to evaluate the self-control state of daily behavior. Mainly include: I am always well prepared, I pay attention to details, I like to be organized, I will do things according to my own schedule, I am very careful in my study, I always put things at random, I always mess things up, I always forget to restore them, I do things carefully and thoroughly, I do my homework first and then play, and my homework assignment. I'll start right after "and" I'll clean up when things get messy "twelve questions. Questions 6 (I always put things at random), 7 (I always mess things up) and 8 (I always forget to restore things) are reverse questions, and their answers are scored in reverse before analysis. Each item is rated from 1 to 5, where 1= "strongly disagree", 2= "disagree" and 3= "neither agree nor disagree".4= "agree", 5= "quite agree". The higher the score, the stronger the self-control ability. The Cronbach alpha coefficient of the self-control scale in this study is 0.871.

Teenagers' problem behavior

In the CFPS2018 Personal Questionnaire, CFPS collected information about adolescent respondents aged 10 to 15 for the first time, including internalizing problem behavior and externalizing problem behavior. In 2018, CFPS adopted a simplified version (Myers et al., 1994) [40] from the Early Childhood Liberal Study in the United States, which contains 14 questions, including 8 internalized questions and 6 externalized questions. Among them, the internalization of adolescent problem behavior is collinear with depression, so this study mainly uses six externalization problems to measure adolescent problem behavior, including quarreling, attention, distraction, homework completion, talkativeness, and fighting. Each entry is rated from 1 to 5, where 1= "completely non-conforming" and 2= "non-conforming", 3= "average", 4= "relatively consistent" and 5= "completely consistent". The higher the score, the greater the probability of adolescent problem behavior. The Cronbach alpha coefficient of problem behavior in this study is 0.742.

Depressive symptoms

CES-D scale is one of the most widely used scales for measuring depressive symptoms in the world. At present, CES-D is widely used in large-scale international surveys. CES-D scale is not only suitable for adults, but also for teenagers and the elderly. Its measurement contents include depression symptoms such as depression, feeling of worthlessness, despair, loss of appetite, and poor attention (Kohout et al., 1993; Wang et al., 2019; Liu et al.,2020) [41-43]. The original version of the CES-D scale includes 20 questions, but there are also shorter versions, one of which is 11 questions and 8 questions edited by HRS according to the original version (Michelle and Marc, 1999) [44]. This CES-D scale consists of 8 items, which evaluate the depressive symptoms of adolescents in the past week, including 6 positive items: “I feel depressed”, “I feel it's hard to do anything”, “I feel bad sleep”, “I feel lonely”, “I feel sad”, and “I feel life can't move on”. There are two negative entries: I feel happy and I live happily. The answer includes four grades: 1= almost nothing (less than a day); 2= Sometimes (1-2 days); 3= Frequently (3-4 days); 4= Most of the time (5-7 days), reverse questions are negatively scored, and the total score ranges from 8 to 32. The higher the score, the more serious the depressive symptoms are. Cronbach alphas coefficients of the 2018 Depression Scale and the 2020 Depression Scale in this study are 0.752 and 0.812 respectively.

Data analysis

Python3.9, SPSS22, and LISREL8.80 software were used for statistical analysis. Python3.9 was used to combine Wave5 and Wave6 data based on personal ID. SPSS was used to analyze the correlation between variables. Cronbach alpha coefficient was used to evaluate the internal consistency of the scale, and LISREL was used to construct chain structure equation. Frequency was used in counting data, mean and standard behavior was used in measuring data, and the structural equation model is used to test the intermediary effect. Mediation variables are self-control and problem behavior; Independent variables are internet addiction, family atmosphere, and academic performance; Dependent variables are depressive symptoms in 2018 and depressive symptoms in 2020 (Figure 1). When the values of comparison fitting index (CFI), non-normed fitting index (NNFI), incremental fitting index (IFI), and modified goodness of fit index (AGFI) are higher than 0.90, it indicates that the fitting results of the data are good (Bentler, 1990; Hu and Bentler, 1999) [45-46], The approximate root means error (RMSEA) value < 0.05 means "close fit" (Steiger, 1990; Browne and Cudeck, 1992) [47-48]. The critical value (CN) of Hoelter greater than 200 indicates that the model has a good fitting degree (Bollen, 1986) [49].

Results

Descriptive Data

Table 1 shows the main demographic characteristics of the respondents. Among the 1,577 participants, there is little difference in the ratio of males to females. Most of the respondents attend primary schools. Among the Internet addicts, 18.71% use the Internet to socialize almost every day and 19.40% use the Internet for entertainment almost every day. In the family atmosphere, the average score of trust in parents is 4.76(SD=0.62),55.51% of teenagers have never talked to their parents for nearly a month, while 1.98% of participants have never had dinner with their families for nearly a week; In terms of academic performance, 26.12% and 20.98% of teenagers ranked in the top 10% of classes and grades, respectively. 11.99% of the respondents were very satisfied with their self-study, and 5.08% of teenagers thought they were excellent. The average score for self-control is 42.40(SD=6.79), the average score for problem behavior is 12.59 (SD = 4.00), the average score of depressive symptoms in 2018 was 11.88 (SD = 3.04), and the average score for depressive symptoms in 2020 was 7.64(SD=2.20).

< Insert Table 1 here >

Mediation Analyses

According to the structural equation model, the insignificant path is removed from the initial model by t value (t<1.96) to get the final model. Compared with the initial model, the fitting result is improved to some extent, RMSEA = 0.046, NNFI = 0.90, CFI = 0.90, IFI = 0.90, AGFI = 0.94 and CN = 0.94.The family atmosphere has a significant negative impact on adolescent problem behavior and 18-year depression, and a significant positive impact on self-control. Academic performance has a significant negative effect on adolescent problem behavior and a significant positive effect on self-control and depression. Self-control is directly and negatively related to adolescent problem behavior; problem behavior was positively correlated with depressive symptoms at 18 years. At the same time, 18-year depression symptoms of adolescents are directly and positively correlated with 20-year depression symptoms.

< Insert Table 2 here >

< Insert Figure 3 here >

First of all, Table 3 lists the paths of various factors affecting adolescent depressive symptoms. The study found that Internet addiction has a positive effect on adolescent depression symptoms, with a total effect of 0.02(< 0.001), but no direct effect. The family atmosphere has a direct influence on adolescent depression symptoms (β = -1.07, < 0.001), and the total effect is -1.25(p < 0.001); At the same time, we found that academic performance had a significant direct impact on adolescent depression (β=0.12, p < 0.005). Due to the influence of intermediary factors, the total effect decreased to 0.03(< 0.001). Therefore, hypothesis 1(H1) is partially supported.

< Insert Table 3 here >

Secondly, the results show that adolescent problem behavior has a direct impact on depression symptoms in DP18 (β = 0.37, p < 0.001) and a negative impact on depression symptoms in DP20, with a total effect of -0.07(p < 0.001). Self-control has no direct effect on adolescents' depressive symptoms in DP18, but the total effect is -0.14(p < 0.001), and it has a significant positive effect on adolescents' depressive symptoms in DP20, with the total effect being 0.18(p < 0.001). And self-control has a significant negative influence on adolescent problem behavior (β = -0.38, < 0.001). In addition, Internet addiction, family atmosphere, and academic performance all have indirect effects on adolescents' 20-year depression symptoms, and the total effects are -0.60, 0.01, and 0.02, respectively (p < 0.001). Therefore, Hypothesis 2, 3, and 4(H2, H3, H4) are supported to some extent.

Finally, the study shows that the depressive symptoms of adolescents are persistent over time, specifically, 18-year depressive symptoms have a significant positive effect on 20-year depressive symptoms, with a total effect of 0.48(p<0.001), which indicates that adolescents suffering from depressive symptoms in 18 years are more likely to suffer from depressive symptoms in 20 years. Therefore, hypothesis 5(H5) is supported.

Discussion

The chain mediation model was used to test the influence of Internet addiction, family atmosphere, and academic performance on adolescent depression. The results showed that Internet addiction had no direct influence on adolescent depression, the family atmosphere had a negative correlation with depressive symptoms, and the academic performance had a positive correlation with depressive symptoms. Intermediary effect discovery, Internet addiction, family atmosphere, academic performance, and depressive symptoms can be influenced by independent mediation of problem behavior and chain mediation of self-control and problem behavior. At the same time, this study also found that the depressive symptoms of adolescents are persistent over time.

Internet addiction can indirectly affect adolescent depressive symptoms.

It is found that the total effect of Internet addiction on adolescent depression is 0.02(p<0.001), which indicates that there is a certain correlation between them. The higher the level of Internet addiction, the higher the adolescent depression. Some studies show that people with high depression levels have high anxiety and low self-confidence in social interaction, and are often reluctant to participate in face-to-face social activities. Spending too much time on the Internet will inevitably reduce their social participation, thus making it impossible to obtain enough social support and emotional comfort (Cao et al., 2020)[50]. At the same time, low social interaction will also reduce the social belonging of teenagers, thus increasing the risk of depression. In addition, some related studies show that when the individual's psychological demands can't be met in face-to-face communication, it will alleviate psychological deficiency through network channels (Pontes, 2017 )[51], but the results of this study confirm that virtual network can't make up for the psychological deficiency of teenagers, but will aggravate the level of depression. Therefore, it is suggested that the school joint family should further limit the frequency of teenagers using the Internet, guide teenagers to have a correct view of the Internet, appropriately strengthen social activities, and alleviate their emotional problems.

Family atmosphere can effectively relieve adolescent depressive symptoms.

It is proved that family atmosphere has a reverse effect on adolescents' depression, with a total effect of -1.25(p<0.001) and a direct effect of -1.07(p<0.001). Therefore, it can be seen that the adolescents with a better family atmosphere have a lower risk of depression, which is consistent with the existing research results (Ribeiro et al., 2016) [16]As a special group, teenagers' personality characteristics are not sound enough, their ability to cope with setbacks is lacking, their self-defense mechanism is not sound enough, their sense of social responsibility is relatively lacking, and they are prone to negative emotions leading to depression (Gunnell et al., 2018)[52]. And adolescence is the key period of life development and values establishment. How to guide teenagers to form the correct outlook on life and values, The formation of sound psychological characteristics and the avoidance of depression can not be separated from a harmonious family atmosphere (Kenan and Aysel, 2012 )[53], and at the same time, the family function has a strong constraint on the individual's psychological state and behavior to a certain extent (Edela and Brendan; 2013) [54]. Therefore, we should pay attention to the family environment, create a harmonious family atmosphere and improve the socialization function of the family. Provide a solid support for the growth of teenagers.

Academic performance is an important factor affecting adolescent depression.

Through model verification, the study found that academic performance has a positive effect on adolescent depression, with a direct effect of 0.12(p<0.001) and a total effect of 0.03(p<0.001). This shows that the better academic performance, the greater the risk of depression, and the intermediary factors can effectively alleviate the influence of academic performance on adolescent depression. The better academic performance, the higher the expectation, When academic achievement is contrary to effort and ideal expectation, self-confidence is more easily impacted, which leads to pessimism and negative emotions (Khan et al., 2022) [55]. Secondly, teenagers' self-regulation ability is relatively lacking, and their psychological resilience is relatively weak. When the learning pressure is too high, and they lose their self-worth, if they are not given psychological counseling in time, they are more likely to go to extremes (Zhu et al., 2021) [56]. In addition, Most Chinese parents have the mentality of "looking forward to their children's success". When their children's academic performance falls short of their expectations, they tend to show irritability, anxiety, and other emotions, which in turn leads to parent-child conflicts and increases the risk of depression among teenagers (Warikoo et al., 2020) [57]. Therefore, it is necessary to strengthen the psychological construction of teenagers, at the same time reduce their learning pressure and establish correct values for teenagers.

Chain Mediating Effect of Self-control and problem behavior

The results show that self-control and problem behavior have a significant chain mediating effect, in which self-control has a significant negative impact on problem behavior and problem behavior has a significant positive impact on adolescent depressive symptoms. First of all, the control and restriction of teenagers' online behavior and frequency can reduce the level of Internet addiction; The control of self-emotion can ease the contradiction between parents and children; The regulation of cognitive activities can also relieve learning pressure and thus reduce adolescent problem behavior. Teenagers with high self-control can actively adjust their emotions, behaviors, and cognition according to their goals, which can also effectively reduce the risk of depression (Finning et al., 2017) [33]. Secondly, To reduce adolescents' problem behavior, to some extent, it is necessary to enhance their social adaptability and anti-frustration ability, which can effectively relieve depression (Chen and Lien, 2018) [58]. Therefore, it is necessary to strengthen the training of teenagers' self-control ability, so as to improve their internet addiction and aggressive behavior. At the same time, we should focus on teenagers' anti-frustration ability and psychological resilience. Starting from emotional self-regulation, promoting adolescent's personality health.

The persistence of depressive symptoms in adolescents.

This study also found that the depressive symptoms of adolescents persist in time, which is consistent with the previous research results (Lee et al., 2020; Li et al., 2021)[59-60]. That is to say, the depression of teenagers in 2017~2018 will greatly affect the depression in 2019~2020. Therefore, from the perspective of prevention, early detection and early guidance should be made. At the same time, we should choose diversified educational paths, Create an elastic psychological state. Actively respond to the combination of home and school, and take the premise of respecting teenagers' physical and mental development, so that they can establish correct values, outlook on life, and world outlook.

Limitations

Some limitations to this study warrant consideration. First, internet addiction, family atmosphere, academic performance, Self-control, problem behavior, and depression are cross-sectional in the study and can be further validated using longitudinal data in the future. Second, since the information was gathered from the participants in the study, self-report/recall bias may have existed. However, it is not easy to achieve continued participation among cohorts of adolescents in a cohort study, and the sample size should not be ignored. As a result, our findings with acceptable goodness-of-fit indices deserve paying more attention.

Conclusions

The depressive symptoms of adolescents should be paid constant attention, and the depressive symptoms are persistent on the time baseline. The Chain Mediating Effect of Self-control and problem behavior on depression among adolescents, Internet addiction, family atmosphere, and academic performance are important factors affecting depressive symptoms.

Abbreviations

IA: internet addiction; FA: family atmosphere; AP: academic performance; SC: self-control; PB: problem behavior; DP18: depression in 2017-2018; DP20: depression in 2019-2020; CFA: confirmatory factor analysis; M: Mean; SD: Standard behavior; DE: Direct Effect; IE: Indirect Effect; TE: Total Effect; SEM: Structural Equation Modeling.

Declarations

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Author Contributions

Jiang Maomin and Gao Kai designed the study, analyzed results, drafted and revised the manuscript. SNL designed the study, drafted and revised the manuscript. Jiang Maomin and Wu Zhengyu drafted and revised the manuscript. Gao Kai and Guo Peipei analyzed results, and revised the manuscript. Jiang Maomin and Gao Kai acquisition of funding. All authors read and approved the final article.

Funding

This work was supported by the National Natural Science Foundation of China (grant numbers 72074187) The sponsors of the project had no role in the study design, data collection, data analysis, data interpretation, and writing the manuscript.

Ethics Approval and Consent to Participate

This study was approved by the Ethical Review Committee of Peking University Biomedical(IRB00001052-14010), and all participants signed the informed consent.

Consent for Publication

Not Applicable.

Availability of Data and Materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Acknowledgments

The authors thank all the participants, assistants, and researchers for their contribution to this study. In particular, Thank Peking university China Social Science Research Center (ISSS) provided data (China family panel studies, [CFPS] team for providing the data). 

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Tables

Table 1

Descriptive statistics variables of the sample(n=1577)

Variable

n#

%

Mean

SD

Control variable

 

 

 

 

Sex

 

 

 

 

Male

803

50.92

 

 

Female

774

49.08

 

 

Education

 

 

 

 

primary school

956

60.62

 

 

junior school

592

37.54

 

 

Technicalsecondary school/high school/higher vocational school or above

29

1.84

 

 

Independent variables

 

 

 

 

Internet addiction

 

 

 

 

The frequency of using the Internet to socialize

 

 

 

 

never

780

49.46

 

 

Once every few months

25

1.59

 

 

Once a month.

17

1.08

 

 

2-3 times a month

57

3.61

 

 

Once or twice a week

192

12.18

 

 

3-4 times a week

211

13.38

 

 

Almost every day

295

18.71

 

 

Frequency of using the Internet for entertainment

 

 

 

 

never

673

42.68

 

 

Once every few months

19

1.20

 

 

Once a month.

20

1.27

 

 

2-3 times a month

65

4.12

 

 

Once or twice a week

223

14.14

 

 

3-4 times a week

271

17.18

 

 

Almost every day

306

19.40

 

 

Frequency of Internet business activities

 

 

 

 

never

1290

81.80

 

 

Once every few months

61

3.87

 

 

Once a month.

58

3.68

 

 

2-3 times a month

82

5.20

 

 

Once or twice a week

56

3.55

 

 

3-4 times a week

24

1.52

 

 

Almost every day

6

0.38

 

 

Family atmosphere

 

 

 

 

Trust in parents [1-5]

 

 

4.76

0.62

The number of times parents talk.

 

 

 

 

never

872

55.51

 

 

1~2 times

299

19.03

 

 

3-4 times

198

12.60

 

 

5-6 times

103

6.56

 

 

≥7 times

99

6.30

 

 

Number of dinners with family members

 

 

 

 

never

31

1.98

 

 

1~2 times

255

16.26

 

 

3-4 times

97

6.19

 

 

5-6 times

49

3.13

 

 

≥7 times

1136

72.45

 

 

Academic performance

 

 

 

 

Class rank

 

 

 

 

The last 24%

101

7.83

 

 

51-75%

148

11.47

 

 

26-50%

353

27.36

 

 

11-25%

351

27.21

 

 

Top 10%

337

26.12

 

 

Grade ranking

 

 

 

 

The last 24%

82

7.61

 

 

51-75%

187

17.36

 

 

26-50%

320

29.71

 

 

11-25%

262

24.33

 

 

Top 10%

226

20.98

 

 

Academic satisfaction

 

 

 

 

Very dissatisfied

68

4.31

 

 

Dissatisfied

122

7.74

 

 

common

771

48.92

 

 

be satisfied

426

27.03

 

 

Very satisfied

189

11.99

 

 

Think how good you are.

 

 

 

 

Not very good.

62

3.93

 

 

Not good

196

12.44

 

 

common

855

54.25

 

 

excellent

383

24.30

 

 

Very good

80

5.08

 

 

Mediating variables

 

 

 

 

Self-control [12-60]

 

 

42.40

6.79

problem behavior [6-30]

 

 

12.59

4.00

Dependent variable

 

 

 

 

Depression 2018[8-32]

 

 

11.88

3.04

Depression 2020[8-32]

 

 

7.64

2.20

# The total number < n = 1577 due to missing.

[   ]:The range of a single item

 

Table 2

 Measures of goodness-off-fit for depression model of the adolescents

Model

Chi-Square

df

RMSEA

NNFI

CFI

IFI

AGFI

CN

Initial model

2508.88

1044

0.046

0.90

0.90

0.90

0.94

309.89

Delete IA→PB

2510.43

1045

0.046

0.90

0.90

0.90

0.94

309.98

Delete GEN→DP18

2511.86

1046

0.046

0.90

0.90

0.90

0.94

310.09

Delete IA→DP18

2512.20

1047

0.046

0.90

0.90

0.90

0.94

310.33

Delete SC→DP18#

2512.53

1048

0.046

0.90

0.90

0.90

0.94

310.57

Note: IA, Internet addiction,PB, problem behavior, GEN, gender, SC, Self-control ,DP18, depression in 2017-2018

#The goodness-of-fit of the Final model 

Table 3

 Direct and indirect effects of depression in adolescents

Variables

DP in 2018

DP in 2020

Direct effect

Indirect effect

Total effect

Direct effect

Indirect effect

Total effect

Independent variables

 

 

 

 

 

 

Internet addiction

0.02

0.02

0.01

0.01

Family Atmosphere

-1.07

-0.18

-1.25

-0.60

-0.60

Academic Performance

0.12

-0.09

0.03

0.02

0.02

Mediation variables

 

 

 

 

 

 

Self-control

-0.14

-0.14

-0.07

-0.07

problem behavior

0.37

0.37

0.18

0.18